Single-Camera Object Classification for Size-Based Location
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Solution Overview
Problem
Existing object classification and location techniques using a single sensor struggle to accurately determine the size and distance of objects, which are crucial for precise classification and location, especially in scenarios where binocular cues are absent.
Innovation Solution
A method and system that utilize a single sensor, such as a camera, to capture data, classify objects based on their characteristics, and determine a size parameter, which is then used to derive a location-dependent parameter, potentially aided by a second sensor or remote sources like drones or satellites, to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used for object detection, then device complexity is reduced, but measurement precision of size and distance parameters deteriorates
Solution Approach 1:
The patent changes the parameter of using multiple sensors to a single sensor system. By incorporating classification information about object type and size into the measurement process, the system compensates for the loss of binocular depth cues. The single sensor captures images that are processed to determine object classification, which then provides size parameter information used to calculate distance, thereby maintaining measurement precision while reducing device complexity.
2Measurement precision
If size parameter determination is added to object classification, then location accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent merges object classification and size determination into a unified processing framework. The image processing system simultaneously performs classification to identify object type and determines size parameters based on the same image data and classification results. This integrated approach allows location accuracy to be improved through size-parameter-based distance calculation while managing processing complexity through combined operations rather than separate sequential processes.
Data Source
AI summary
The disclosure relates to a method and system for determining a location-dependent parameter associated with an object and classifying an object. The methods include capturing, by a first sensor, first sensor data representing at least one object, classifying the at least one object based on the first sensor data and/or determining a location-dependent parameter associated with the at least one object based on a size parameter. The methods may include capturing, by a second sensor, sensor data representing the at least one object for determining location-dependent parameters, and/or selectively deactivating or disengaging the second sensor from the at least one object.